{"id":"W4234378727","doi":"10.2527/jam2016-0120","title":"0120 Mortality risk factors for calves entering a multilocation white veal farm in Ontario","year":2016,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Barn; Breed; Animal science; Demography; Logistic regression; Mortality rate; Animal welfare; Medicine; Veterinary medicine; Biology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002627188,0.0001977565,0.0001698031,0.0003951022,0.0007978262,0.0005867089,0.000522751,0.0002488794,0.001319733],"category_scores_gemma":[0.000716513,0.000182499,0.0002585469,0.000518709,0.0002647687,0.0002023815,0.0003814964,0.0003017379,0.0001372999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004219421,"about_ca_system_score_gemma":0.003329906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7435533,"about_ca_topic_score_gemma":0.9129607,"domain_scores_codex":[0.9997333,0.00002397934,0.00001523797,0.00005314031,0.00006768895,0.0001066375],"domain_scores_gemma":[0.9993373,0.00005502435,0.0002516645,0.00002079422,0.0001466679,0.0001885786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002038336,0.00001399268,0.9989814,0.000003473644,0.000007062801,0.00006059428,0.0001178825,0.0000178884,0.0002086092,0.000005064524,0.00006587397,0.0004977872],"study_design_scores_gemma":[0.000001026803,0.00002609896,0.9993581,0.000004454841,0.000003703537,0.00003382069,0.000404582,0.00006945614,0.00001133135,0.000002579528,0.00008367821,0.000001219868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994766,0.00003494674,0.00002162536,0.00002623918,0.000001209199,0.000005566631,0.0002040795,0.000001255936,0.0002285445],"genre_scores_gemma":[0.9990421,0.00008198638,0.00005599533,0.00001726804,0.00000191301,0.000006170943,0.0003735542,9.620261e-7,0.000420097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2564467,"threshold_uncertainty_score":0.5159138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806386623077659,"score_gpt":0.2597783908248562,"score_spread":0.2217145245940796,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}